Work from Office
Full Time
We are looking for a Data Engineer to build next generation analytics and reporting platform. The successful candidate will be a we'll-rounded data engineer with a strong expertise and experience in building applications with Data Warehouse technologies like MSBI, Azure Synapse etc This position will be based in Bangalore, India. This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Job Responsibilities Work with business partners and team members to fully understand business requirements and desired business outcomes. Assist in scoping and designing analytic data assets, implementing modelled attributes, and contributing to brainstorming sessions. Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa s data scientists. Perform other tasks on data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis. Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users. Implement data engineering projects ranging from small to large either individually or as part of a project team. Ensure project delivery within timelines and budget requirements. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications Bachelors degree, OR 3+ years of relevant work experience Preferred Qualifications Bachelors degree, OR 3+ years of relevant work experience Experience with distributed, scalable, concurrent, and low latency systems working with one or more of the following database technologies: MS SQL server, DB2, MySQL and NoSQL database such as Mongo DB. Experience working with Microsoft technologies like MSBI, Power BI, .Net, SQL Server, Python. Experience working in an Agile Development environment.
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